* Updated the Extractive Question Answering code snippets
The Extractive Question Answering code snippets do not work anymore since the models return task-specific output objects. This commit fixes the pytorch and tensorflow examples but adding `.values()` to the model call.
* Update task_summary.rst
Modified Model in Action section. The class `AutoModelWithLMHead` is deprecated so changed it to `AutoModelForSeq2SeqLM` for encoder-decoder models. Removed duplicate eos token.
* Adding PrefixConstrainedLogitsProcessor
* fixing RAG and style_doc
* fixing black (v20 instead of v19)
* Improving doc in generation_logits_process.py
* Improving docs and typing in generation_utils.py
* docs improvement
* adding test and fixing doc typo
* fixing doc_len
* isort on test
* fixed test
* improve docstring a bit
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* make tr_loss regular float
* Revert "make tr_loss regular float"
This reverts commit c9d7ccfaf0.
* reset loss at each logging step
* keep track of total loss with _total_loss_scalar
* add remaining tr_loss at the end
* Tokenizers should be framework agnostic
* Run the slow tests
* Not testing
* Fix documentation
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* <small>tiny typo</small>
* Tokenizers: ability to load from model subfolder
* use subfolder for local files as well
* Uniformize model shortcut name => model id
* from s3 => from huggingface.co
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>
* Put models in subfolders
* Styling
* Fix imports in tests
* More fixes in test imports
* Sneaky hidden imports
* Fix imports in doc files
* More sneaky imports
* Finish fixing tests
* Fix examples
* Fix path for copies
* More fixes for examples
* Fix dummy files
* More fixes for example
* More model import fixes
* Is this why you're unhappy GitHub?
* Fix imports in conver command
* Use the CI to identify failing tests
* Remove from all examples and tests
* More default switch
* Fixes
* More test fixes
* More fixes
* Last fixes hopefully
* Use the CI to identify failing tests
* Remove from all examples and tests
* More default switch
* Fixes
* More test fixes
* More fixes
* Last fixes hopefully
* Run on the real suite
* Fix slow tests
* Fix passing token_type_ids during GPT2DoubleHeadsModel.generate() if used
and for GPT2LMHeadModel too
* Update tests to check token_type_ids usage in GPT2 models
* Simply insert T5Tokenizer's prepare_seq2seq_batch
* Update/Add some 'import'
* fix RunTimeError caused by '.view'
* Moves .view related error avoidance from seq2seq_trainer to inside prophetnet
* Update test_tokenization_prophetnet.py
* Format the test code with black
* Re-format the test code
* Update test_tokenization_prophetnet.py
* Add importing require_torch in the test code
* Add importing BatchEncoding in the test code
* Re-format the test code on Colab
